ExaGridPF: A Parallel Power Flow Solver for Transmission and Unbalanced Distribution Systems

11/28/2017
by   Bin Wang, et al.
0

This paper investigates parallelization strategies for solving power flow problems in both transmission and unbalanced, three-phase distribution systems by developing a scalable power flow solver, ExaGridPF, which is compatible with existing high-performance computing platforms. Newton-Raphson (NR) and Newton-Krylov (NK) algorithms have been implemented to verify the performance improvement over both standard IEEE test cases and synthesized grid topologies. For three-phase, unbalanced system, we adapt the current injection method (CIM) to model the power flow and utilize SuperLU to parallelize the computing load across multiple threads. The experimental results indicate that more than 5 times speedup ratio can be achieved for synthesized large-scale transmission topologies, and significant efficiency improvements are observed over existing methods for the distribution networks.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/03/2018

Robust Steady State Analysis of the Power Grid

A robust methodology for obtaining the steady-state solution of the powe...
research
03/03/2018

Robust Power Flow and Three-Phase Power Flow Analyses

Robust simulation is essential for reliable operation and planning of tr...
research
01/06/2021

Fast Parallel Newton-Raphson Power Flow Solver for Large Number of System Calculations with CPU and GPU

To analyze large sets of grid states, e.g. when evaluating the impact fr...
research
02/26/2019

A Graph Computation based Sequential Power Flow Calculation for Large-Scale ACDC Systems

This paper proposes a graph computation based sequential power flow calc...
research
10/30/2019

DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow

We develop DeepOPF as a Deep Neural Network (DNN) approach for solving s...
research
04/20/2020

Hot-Starting the Ac Power Flow with Convolutional Neural Networks

Obtaining good initial conditions to solve the Newton-Raphson (NR) based...
research
05/14/2022

On Evaluating Power Loss with HATSGA Algorithm for Power Network Reconfiguration in the Smart Grid

This paper presents the power network reconfiguration algorithm HATSGA w...

Please sign up or login with your details

Forgot password? Click here to reset